Deforming objects via exponential homotopy: A first approach

Luis O. Alpala, Diego H. Peluffo-Ordonez, Catalina Gonzalez-Castano, Fredy A. Guasmayan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This work presents a novel alternative to conventional linear homotopy with suboptimal settings for applications on object deformation. Proposed approach extends the linear mapping to exponential representations that provides smooth transitions when deforming objects while homotopy conditions are fulfilled. As well, we introduce a quality indicator based on the ratio between the coefficients curve of resultant homotopy and those of a non-realistic, reference homotopy. Experimental results are promising and show the applicability of exponential homotopy to interpolating images with soft changes and homotopic geometric objects.

Original languageEnglish
Title of host publication2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings
EditorsPedro Vizcaya Guarin, Lorena Garcia Posada
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467394611
DOIs
Publication statusPublished - 16 Nov 2015
Externally publishedYes
Event20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Bogota, Colombia
Duration: 2 Sept 20154 Sept 2015

Publication series

Name2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings

Conference

Conference20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015
Country/TerritoryColombia
CityBogota
Period2/09/154/09/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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